【Purpose/significance】Integrating artificial intelligence technology with visualization technology, this paper analyzes the hidden information contained in the title and abstract of the article, and provides a new research perspective for exploring the research history and current situation in the field of Library and information in China.【Method/process】Download 148956 metadata of all articles in the field of Library and information science from CNKI database. Use natural language processing technology to extract labels, classifications and emotional tendencies in title and abstract, and drawdownloaded & cited graph of periodicals by means of statistics, clustering, neural network prediction and knowledge map, construct citation factor model, research hotspots and emotional propensity transfer map, and high-quality article knowledge map, etc. [Result/conclusion] This paper reveals the relationship between citation and downloading of documents in the field of Library and information from 1957 to 2018, excavates the influencing factors of citation, and finds out the evolution of research hotspots and the characteristics of highly cited documents.